Amazon
Business Intelligence Engineer, Prime Video Content Analytics and Products
Amazon, Culver City, California, United States, 90232
DESCRIPTION
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events.
We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide.
The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
As a Business Intelligence Engineer on the Prime Video Content Analytics and Products (PVCAPs) team, you will collaborate with cross-functional business teams (like Strategy, Finance, Engineering, Product) to build high impact tools that solve business needs.
Our engineers create automated and scalable analytical data products that will ultimately be critical in driving the growth and expansion of the business.
The ideal candidate thrives in working with large volumes of data, is passionate about analytics, and enjoys the challenge of creating solution-oriented products for the business.
The candidate should be a self-starter; comfortable with ambiguity, eager to learn and pick up new skills, able to think big, and enjoy working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up for the challenge!
Key job responsibilities• Own, design, develop, document, and manage scalable solutions for new and ongoing reports, analyses, ETL pipelines and dashboards to support business needs.• Generate actionable insights through the development of new tools, dashboards, reports and deep dive analyses.• Serve as a technical, business-metrics specialist and insight provider to business stakeholders in the organization.• Act as a key interface between our internal business customers and technical teams.• Leverage extensive data sets to derive strategic insights that shape business decisions on content spend and studio investments.• Present insights to senior stakeholders in creative development, strategy, finance, production, and technology.• Work in a fast paced, global environment, across various functional teams.
A day in the lifeCreate and manage automated, scalable, self-service analytical tools that empower global business teams to make data driven decisions. Partner with cross-functional teams to present on business data, providing consumer insights and content analytics support. Leverage data to provide data-driven recommendations, enable new analyses, and innovate on behalf of our business customers.
About the teamThe Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle, from the initial concept through production to post-launch analysis.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.#J-18808-Ljbffr
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events.
We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide.
The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
As a Business Intelligence Engineer on the Prime Video Content Analytics and Products (PVCAPs) team, you will collaborate with cross-functional business teams (like Strategy, Finance, Engineering, Product) to build high impact tools that solve business needs.
Our engineers create automated and scalable analytical data products that will ultimately be critical in driving the growth and expansion of the business.
The ideal candidate thrives in working with large volumes of data, is passionate about analytics, and enjoys the challenge of creating solution-oriented products for the business.
The candidate should be a self-starter; comfortable with ambiguity, eager to learn and pick up new skills, able to think big, and enjoy working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up for the challenge!
Key job responsibilities• Own, design, develop, document, and manage scalable solutions for new and ongoing reports, analyses, ETL pipelines and dashboards to support business needs.• Generate actionable insights through the development of new tools, dashboards, reports and deep dive analyses.• Serve as a technical, business-metrics specialist and insight provider to business stakeholders in the organization.• Act as a key interface between our internal business customers and technical teams.• Leverage extensive data sets to derive strategic insights that shape business decisions on content spend and studio investments.• Present insights to senior stakeholders in creative development, strategy, finance, production, and technology.• Work in a fast paced, global environment, across various functional teams.
A day in the lifeCreate and manage automated, scalable, self-service analytical tools that empower global business teams to make data driven decisions. Partner with cross-functional teams to present on business data, providing consumer insights and content analytics support. Leverage data to provide data-driven recommendations, enable new analyses, and innovate on behalf of our business customers.
About the teamThe Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle, from the initial concept through production to post-launch analysis.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.#J-18808-Ljbffr